{"id":"W4402479881","doi":"10.1201/9781003483755-232","title":"Vulnerability of network infrastructure due to potential extreme weather in PEI, Canada","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Extreme weather; Geography; Computer science; Computer security; Climate change; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002223211,0.0005381656,0.0009144861,0.0002439085,0.00003873035,0.00003243584,0.0003659775,0.0004728932,0.00527192],"category_scores_gemma":[0.00001937799,0.0004793777,0.0002544242,0.0002307156,0.00006994522,0.0000617293,0.0001117746,0.0009674724,0.00002534981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813148,"about_ca_system_score_gemma":0.0003074498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04969361,"about_ca_topic_score_gemma":0.5870395,"domain_scores_codex":[0.9977001,0.0000184039,0.0007852054,0.0005329509,0.0004962954,0.0004670362],"domain_scores_gemma":[0.9989643,0.00005797771,0.00005786541,0.0006670672,0.00008913621,0.0001637096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001413426,0.000002954106,0.0001708462,0.000343214,0.0002000682,0.000101053,0.00006452172,0.9657252,0.00008906423,0.01042585,0.0170451,0.005817967],"study_design_scores_gemma":[0.0007740146,0.0001843177,0.01135693,0.001697191,0.001061899,0.0001432258,0.000258245,0.1214341,0.0008134137,0.3881859,0.4692632,0.00482765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0111878,0.001979767,0.009999849,0.0003196967,0.002732153,0.0009507236,0.0003395542,0.0002983887,0.972192],"genre_scores_gemma":[0.8655362,0.00007215947,0.001879655,0.0001912025,0.0009713838,0.00002018256,0.0000750566,0.0001799075,0.1310743],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8543484,"threshold_uncertainty_score":0.9997658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00550531069125056,"score_gpt":0.1880849391974471,"score_spread":0.1825796285061965,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}